This dataset from Emrgy Inc., in collaboration with Sandia National Laboratories, includes integration of modular vertical axis hydrokinetic (HK) turbines into a higher fidelity canal hydraulic model. This submission contains all data collected and used for the Vertical Axis Hydrokinetic Turbine Array Modeling & Optimization. The data includes Delft3D simulation data and scripts for the Hydrokinetic Turbine (HKT) & HKT arrays. The simulation data includes canal models with and without turbines for two real-world sites; one in Colorado and one in California. The simulation data also includes a matrix of test cases. The main script "rotorFrame_clean.py" is a python script used to automate the setup of different turbine configurations within SNL-Delft3D. This work was supported by funding from TEAMER RFTS 7 (Request for Technical Support).
L o a d i n g
Organization
National Renewable Energy Laboratory (NREL) - view all
Update frequencyunknown
Last updated5 days ago
OverviewCACOCaliforniaColoradoDelft3DHKHK turbinesHKTHydrokineticHydrokinetic TurbineMHKMarineOptimization DataRFTS7SNL-Delft3DTEAMERTurbine Array Modelingcanalcanal hydraulic modelenergyhydraulic modelmodelingpowerpythonreal-worldsimulationsimulation datatest casesturbinesvertical axis
Additional Information
KeyValue
Dcat Issued2024-07-31T06:00:00Z
Dcat Modified2025-04-28T22:01:34Z
Dcat Publisher NameEmrgy, Inc.
Guidhttps://data.openei.org/submissions/8400
Harvest Object Id2d5daf02-34ae-4c12-8684-7ac99d980db4
Harvest Source Id4eb7107f-a2b1-40e3-b36a-8161aa98a56e
Harvest Source TitleOpenEI Data Portal